Ullsperger, M.; Braß, M.; Knösche, T. R.; Phillips, N. A.: Timing of task-set reconfiguration in frontal and parietal cortices. In Psychophysiology, 41 (S1), S. S51 - S51. (2004)

Sonntag, H.; Maess, B.: Magnetic field compensation coil design for magnetoencephalography. 54th Annual Conference of the German Society for Biomedical Engineering, Leipzig, Germany (2020)

Knösche, T. R.: Canonical microcircuits - Exploring the building blocks of cognition using neural mass models. Workshop "Neuroimaging in Psychedelics – What we can learn from EEG and fMRI Studies", Prague, Czech Republic (2019)

Knösche, T. R.: Spatial analysis of EEG and MEG. 4th International Conference on Basic and Clinical Multimodal Imaging (BaCI), Chengdu, China (2019)

Knösche, T. R.: A novel approach to localize cortical TMS effects. 4th International Conference on Basic and Clinical Multimodal Imaging (BaCI), Chengdu, China (2019)

Knösche, T. R.: Identifying the location of the effects of transcranial brain stimulation using the congruence factor approach. International Conference on Complex Medical Engineering (CME 2019), Dortmund, Germany (2019)

Knösche, T. R.: Canonical microcircuits in the cortex - Modeling working memory and sentence processing. Guest Lecture, University of Twente, Enschede, the Netherlands (2019)

Knösche, T. R.: Towards a comprehensive model of non-invasive brain stimulation. Guest Lecture, Hangzhou Normal University, China (2019)

Weise, K.: Uncertainty and sensitivity analysis in neuroscience using generalized polynomial chaos and pygpc. 4th International Conference on Basic and Clinical Multimodal Imaging (BaCI), Chengdu, China (2019)

Weise, K.: Numerical modeling of non-invasive brain stimulation with SimNIBS 3.0. 4th International Conference on Basic and Clinical Multimodal Imaging (BaCI), Chengdu, China (2019)

Weise, K.: Uncertainty and sensitivity of brain stimulation models. 4th International Conference on Basic and Clinical Multimodal Imaging (BaCI), Chengdu, China (2019)

Gast, R.; Weise, K.; Rose, D.; Knösche, T. R.: Design and sensitivity analysis of neural models (using PyRates and pygpc). 28th Annual Computational Neuroscience Meeting (CNS), Barcelona, Spain (2019)

Sonntag, H.: The effect of uncertainty in MEG-to-MRI coregistrations on MEG inverse problems. Forschungsseminar, Institut für Biomedizinische Technik und Informatik Technische Universität Ilmenau, Germany (2019)

Maess, B.: Signatures of prediction in speech processing. IBB Kolloquium, Universität Münster, Germany (2019)

Knösche, T. R.: Connectivity analysis. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Knösche, T. R.: Dynamic modeling. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Knösche, T. R.: Discussion: EEG and MEG in relation to other brain imaging techniques. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Maess, B.: Source analysis III: Distributed source models. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Maess, B.: Event-related signals: Averaging, component analysis, statistics. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Maess, B.: Source analysis II: Focal sources –dipole fitting and scanning methods. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)